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OPTO-ACOUSTIC DATA FUSION FOR SUPPORTING THE GUIDANCE OF REMOTELY OPERATED UNDERWATER VEHICLES (ROVs)

机译:光声数据融合,用于支持远程操作的水下车辆的引导(ROV)

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Remotely Operated underwater Vehicles (ROVs) play an important role in a number of operations conducted in shallow and deep water (e.g.: exploration, survey, intervention, etc.), in several application fields like marine science, offshore construction, and underwater archeology. ROVs are usually equipped with different imaging devices, both optical and acoustic. Optical sensors are able to generate better images in close range and clear water conditions, while acoustic systems are usually employed in long range acquisitions and do not suffer from the presence of turbidity, a well-known cause of coarser resolution and harder data extraction. In this work we describe the preliminary steps in the development of an opto-acoustic camera able to provide an on-line 3D reconstruction of the acquired scene. Taking full advantage of the benefits arising from the opto-acoustic data fusion techniques, the system was conceived as a support tool for ROV operators during the navigation in turbid waters, or in operations conducted by means of mechanical manipulators. The paper presents an overview of the device, an ad-hoc methodology for the extrinsic calibration of the system and a custom software developed to control the opto-acoustic camera and supply the operator with visual information.
机译:远程操作的水下车辆(ROV)在浅水和深水(例如:勘探,调查,干预等)中,在几个应用领域,如海洋科学,海上建筑和水下考古学进行了一项重要作用。 ROV通常配备有不同的成像装置,包括光学和声学。光学传感器能够在近距离和清澈的水条件下产生更好的图像,而声学系统通常用于长距离采集,并且不会遭受浊度的存在,粗糙的分辨率的公知原因和更难的数据提取。在这项工作中,我们描述了能够提供所获取的场景的在线三维重建的光声相机开发的初步步骤。充分利用光声数据融合技术产生的益处,该系统被认为是在浑浊水域导航期间的ROV运算符的支持工具,或通过机械机械机械传导的操作。本文介绍了该设备的概述,用于系统外在校准的Ad-Hoc方法以及开发的自定义软件,用于控制光学电气摄像机,并通过可视信息提供操作员。

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